Analysis of Polarimetric Multistatic Human Micro-Doppler Classification of Armed/Unarmed Personnel

Fioranelli, F. , Ritchie, M. and Griffiths, H. (2015) Analysis of Polarimetric Multistatic Human Micro-Doppler Classification of Armed/Unarmed Personnel. In: 2015 Radar Conference (RadarCon), Arlington VA, 10-15 May 2015, 0432-0437. ISBN 9781479982325 (doi:10.1109/RADAR.2015.7131038)

Full text not currently available from Enlighten.

Abstract

Human micro-Doppler radar signatures have been investigated to classify different types of activities and to identify potential armed personnel in the context of security and surveillance applications. In this paper the use of multistatic micro-Doppler signatures to distinguish between unarmed and armed personnel moving is described. The effect of polarimetry on the classification accuracy is evaluated. Real radar data from a multistatic radar (NetRAD) has been analyzed as part of this work. Suitable features are extracted from the spectrograms generated from the data and then used as input to a classifier. The impact of polarization diversity on the classification performance is investigated, in particular the use of co-polarized or cross-polarized data or their multistatic combination.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco
Authors: Fioranelli, F., Ritchie, M., and Griffiths, H.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
ISBN:9781479982325

University Staff: Request a correction | Enlighten Editors: Update this record